Results 121 to 130 of about 33,241,813 (298)

An algorithm for closed-loop data-driven simulation

Closed-loop data-driven simulation refers to the problem of constructing trajectories of a closed-loop system directly from data of the plant and a representation of the controller.
Markovsky, Ivan
core   +1 more source

A Data-Driven Approach to Discovering Process Choreography

Algorithms
Implementing approaches based on process mining in inter-organizational collaboration environments presents challenges related to the granularity of event logs, the privacy and autonomy of business processes, and the alignment of event data generated in ...
Jaciel David Hernandez-Resendiz, Edgar Tello-Leal, Marcos Sepúlveda   +2 more
doaj   +1 more source

Emerging experimental and computational methods for studying redox‐regulated structural transitions

FEBS Letters, EarlyView.
Redox reactions can reshape proteins and alter how they behave in cells, with important consequences for health and disease. This review explores emerging experimental and computational approaches for discovering these redox‐sensitive protein switches, revealing their structural effects, and predicting their behavior, opening new opportunities to ...
Tasneem Rass, Dana Reichmann, Gábor Erdős   +2 more
wiley   +1 more source

DATASET2050 D2.2 - Data-driven Model [PDF]

, 2016
The purpose of this document, Deliverable 2.2, is to build the structure and specifications of the DATASET2050 data driven model. The door-to-door process is complex and therefore direct performance measurement of the process cannot be done due to ...
Perez, D., Cook, A.J., Gurtner, G., Cristobal, S., Ureta, H., Paul, A.   +5 more
core  

Functional comparison of EncB and EncC cargo proteins in iron storage within the Myxococcus xanthus encapsulin

FEBS Letters, EarlyView.
Encapsulins are protein nanocompartments that play an important role in iron storage. In the Myxococcus xanthus encapsulin system, two cargo proteins called EncB and EncC contribute to iron mineralization. Here, we show that EncB and EncC generate iron‐containing minerals with distinct chemical compositions, suggesting that the composition of stored ...
Harry B. McDowell, Thomas Walther, Egbert Hoiczyk   +2 more
wiley   +1 more source

Large-scale data-driven financial risk assessment

, 2019
The state of data in finance makes near real-time and consistent assessment of financial risks almost impossible today. The aggregate measures produced by traditional methods are rigid, infrequent, and not available when needed.
Breymann, Wolfgang, Heitz, Jonas, Stockinger, Kurt, Nils Bundi, Jonas Heitz, Johannes Micheler, Bundi, Nils, Wolfgang Breymann, Micheler, Johannes, Kurt Stockinger   +9 more
core   +1 more source

Prospecting the protein design landscape

FEBS Letters, EarlyView.
This review outlines the current state of various protein design approaches. We discuss the current possibilities enabled by recently released tools, highlight future avenues to pursue in protein design, and underscore the crucial role of key databases and resources for successful protein design workflows.
Jakob R. Riccabona, Katharina T. Stonig, Jens Meiler, Clara T. Schoeder, Monica L. Fernández‐Quintero   +4 more
wiley   +1 more source

Data-Driven Fault Diagnosis Approach for Synchronous Generators

IEEE Open Journal of Industry Applications
This article presents a data-driven approach for diagnosing interturn short-circuit (ITSC) faults in the field winding of synchronous generators (SGs).
Zahra Masoumi, Bijan Moaveni
doaj   +1 more source

A data‐driven genome annotation approach for cassava

The Plant Journal
SUMMARY Genome annotation files play a critical role in dictating the quality of downstream analyses by providing essential predictions for gene positions and structures. These files are pivotal in decoding the complex information encoded within DNA sequences.
Swetha Chenna, Maxim Ivanov, Tue Kjærgaard Nielsen, Karina Chalenko, Evy Olsen, Kirsten Jørgensen, Albin Sandelin, Sebastian Marquardt   +7 more
openaire   +4 more sources

Artificial molecular machines and motors—Design and control of nanoscale motion

FEBS Letters, EarlyView.
Molecules are constantly moving because of thermal fluctuations, but random motion alone cannot be exploited to perform directional tasks. Artificial molecular machines use chemical, electrical, or light energy to bias this motion. Molecular shuttles, rotary motors, and supramolecular pumps illustrate how nanoscale movement can be controlled and ...
Leonardo Andreoni, Alberto Credi
wiley   +1 more source